Run an AI model on your computer

1. embeddinggemma-2

   google · 2 tested configurations

   • nf4 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s

     Throughput · Batch 1

     189vectors/sec

     Best measured · Batch 16

     2,572vectors/sec

     Observed GPU occupancy

     1.3GiB

     P95 latency

     6 ms

     Use this recipe · Batch 16 ↗Evidence report and run availability ↗Same test on other GPUs
     Test details · 3 batch sizes

     Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

     Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

     Engine

     sentence-transformers · PyTorch 2.12.1+cu130

     Protocol

     native-forward-v1

     Dataset

     embedding-mteb-tasks-v1

     Workload

     embedding

     Batch size	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
     B1	189.23	6 ms	—	1.33	145.5	1	c673556b ↗
     B4	713.32	6 ms	—	1.33	142.8	1	c673556b ↗
     B16	2,571.53	7 ms	—	1.33	162.7	1	c673556b ↗

   • 1 other test configurations on this GPU

     • fp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s

       Throughput · Batch 1

       207vectors/sec

       Best measured · Batch 16

       2,939vectors/sec

       Observed GPU occupancy

       1.5GiB

       P95 latency

       5 ms

       Use this recipe · Batch 16 ↗Evidence report and run availability ↗Same test on other GPUs
       Test details · 3 batch sizes

       Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

       Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

       Engine

       sentence-transformers · PyTorch 2.12.1+cu130

       Protocol

       native-forward-v1

       Dataset

       embedding-mteb-tasks-v1

       Workload

       embedding

       Batch size	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
       B1	206.79	5 ms	—	1.48	119.3	1	196678d3 ↗
       B4	764.95	6 ms	—	1.48	141.4	1	196678d3 ↗
       B16	2,938.63	6 ms	—	1.48	161.8	1	196678d3 ↗

2. Qwen3-Embedding-0.6B

   Qwen · 3 tested configurations

   • fp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s

     Throughput · Batch 1

     232vectors/sec

     Best measured · Batch 32

     3,763vectors/sec

     Observed GPU occupancy

     2.2GiB

     P95 latency

     5 ms

     Use this recipe · Batch 32 ↗Evidence report and run availability ↗Same test on other GPUs
     Test details · 3 batch sizes

     Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

     Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

     Engine

     sentence-transformers · PyTorch 2.12.1+cu130

     Protocol

     native-forward-v1

     Dataset

     embedding-mteb-tasks-v1

     Workload

     embedding

     Batch size	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
     B1	232.18	5 ms	—	2.22	155	1	65594583 ↗
     B8	1,601.21	5 ms	—	2.22	191.2	1	65594583 ↗
     B32	3,763.07	9 ms	—	2.22	208.7	1	65594583 ↗

   • 2 other test configurations on this GPU

     • fp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 15 s

       Throughput · Batch 1

       218vectors/sec

       Best measured · Batch 32

       3,617vectors/sec

       Observed GPU occupancy

       2.2GiB

       P95 latency

       5 ms

       Use this recipe · Batch 32 ↗Evidence report and run availability ↗Same test on other GPUs
       Test details · 3 batch sizes

       Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

       Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

       Engine

       sentence-transformers · PyTorch 2.12.1+cu130

       Protocol

       native-forward-v1

       Dataset

       embedding-mteb-tasks-v1

       Workload

       embedding

       Batch size	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
       B1	217.92	5 ms	—	2.22	156.5	1	a7d85bcf ↗
       B8	1,494.89	5 ms	—	2.22	185.4	1	a7d85bcf ↗
       B32	3,616.74	9 ms	—	2.22	206.8	1	a7d85bcf ↗

     • nf4 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 15 s

       Throughput · Batch 1

       196vectors/sec

       Best measured · Batch 32

       3,091vectors/sec

       Observed GPU occupancy

       1.6GiB

       P95 latency

       5 ms

       Use this recipe · Batch 32 ↗Evidence report and run availability ↗Same test on other GPUs
       Test details · 3 batch sizes

       Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

       Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

       Engine

       sentence-transformers · PyTorch 2.12.1+cu130

       Protocol

       native-forward-v1

       Dataset

       embedding-mteb-tasks-v1

       Workload

       embedding

       Batch size	Mean throughput (vectors/sec)	P95	TTFT	Observed occupancy (GiB)	GPU power (W)	Reports combined	View report
       B1	195.8	5 ms	—	1.61	174.8	1	b9501833 ↗
       B8	1,156.9	7 ms	—	1.61	196	1	b9501833 ↗
       B32	3,091.08	10 ms	—	1.61	207.4	1	b9501833 ↗

Models shown: 2 / 2

Recipe availability is checked on each report against the published recipe executor.

Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.